iPad16,5
Geekbench AI Score
4359
Single Precision Score
6202
Half Precision Score
5174
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | incoherent |
| Upload Date | August 16 2024 03:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (HP)
|
100% |
2590
481.6 IPS |
|
|
Image Classification (Q)
|
99% |
2596
484.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1736
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9632
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18698
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15960
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2067
163.9 IPS |
|
|
Object Detection (HP)
|
97% |
3012
239.8 IPS |
|
|
Object Detection (Q)
|
94% |
2191
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3658
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7349
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10852
83.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5706
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22928
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33987
43.7 IPS |
|
|
Style Transfer (Q)
|
100% |
34853
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6626
244.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4654
172.4 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5093
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5043
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5099
88.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5116
88.4 IPS |
